Benjamin F. Timson

1.2k total citations
29 papers, 928 citations indexed

About

Benjamin F. Timson is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Benjamin F. Timson has authored 29 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Physiology and 6 papers in Cell Biology. Recurrent topics in Benjamin F. Timson's work include Muscle Physiology and Disorders (11 papers), Muscle metabolism and nutrition (6 papers) and Muscle activation and electromyography studies (5 papers). Benjamin F. Timson is often cited by papers focused on Muscle Physiology and Disorders (11 papers), Muscle metabolism and nutrition (6 papers) and Muscle activation and electromyography studies (5 papers). Benjamin F. Timson collaborates with scholars based in United States. Benjamin F. Timson's co-authors include R. L. Moore, M. Riedy, P. D. Gollnick, Scott Zimmerman, Carla M. Yuede, David M. Holtzman, Matthew J. Kling, John G. Csernansky, Hongxin Dong and Adam W. Bero and has published in prestigious journals such as The FASEB Journal, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Benjamin F. Timson

26 papers receiving 885 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin F. Timson United States 13 395 363 193 137 134 29 928
Maurice Falempin France 20 417 1.1× 418 1.2× 310 1.6× 117 0.9× 104 0.8× 62 1.1k
G. A. Klug United States 18 660 1.7× 248 0.7× 307 1.6× 148 1.1× 278 2.1× 39 1.1k
Christopher W. Sundberg United States 14 153 0.4× 259 0.7× 252 1.3× 236 1.7× 105 0.8× 29 778
Aivaras Ratkevičius United Kingdom 20 402 1.0× 391 1.1× 244 1.3× 215 1.6× 266 2.0× 59 1.2k
Gary E. McCall United States 15 361 0.9× 342 0.9× 180 0.9× 338 2.5× 329 2.5× 28 1.1k
Sean C. McCoy United States 16 143 0.4× 325 0.9× 40 0.2× 138 1.0× 166 1.2× 28 1.1k
Marie‐Hélène Canu France 19 163 0.4× 211 0.6× 160 0.8× 41 0.3× 58 0.4× 57 789
Toshio Higashi Japan 13 243 0.6× 112 0.3× 138 0.7× 37 0.3× 49 0.4× 45 799
Geoffrey M. Bove United States 22 139 0.4× 614 1.7× 43 0.2× 71 0.5× 295 2.2× 54 1.5k
Marcus Moberg Sweden 16 275 0.7× 314 0.9× 46 0.2× 163 1.2× 335 2.5× 42 758

Countries citing papers authored by Benjamin F. Timson

Since Specialization
Citations

This map shows the geographic impact of Benjamin F. Timson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benjamin F. Timson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin F. Timson more than expected).

Fields of papers citing papers by Benjamin F. Timson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin F. Timson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benjamin F. Timson. The network helps show where Benjamin F. Timson may publish in the future.

Co-authorship network of co-authors of Benjamin F. Timson

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin F. Timson. A scholar is included among the top collaborators of Benjamin F. Timson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin F. Timson. Benjamin F. Timson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yuede, Carla M., et al.. (2018). Interactions between stress and physical activity on Alzheimer's disease pathology. Neurobiology of Stress. 8. 158–171. 26 indexed citations
2.
Moore, Kaitlin, Maria R. Jones, Jessica L. Restivo, et al.. (2015). A spectrum of exercise training reduces soluble Aβ in a dose-dependent manner in a mouse model of Alzheimer's disease. Neurobiology of Disease. 85. 218–224. 108 indexed citations
3.
Yuede, Carla M., Scott Zimmerman, Hongxin Dong, et al.. (2009). Effects of voluntary and forced exercise on plaque deposition, hippocampal volume, and behavior in the Tg2576 mouse model of Alzheimer's disease. Neurobiology of Disease. 35(3). 426–432. 196 indexed citations
4.
Zimmerman, Scott & Benjamin F. Timson. (2006). Team‐based learning improves performance in a physiology laboratory course. The FASEB Journal. 20(4). 2 indexed citations
5.
Kilgore, J. Lon, Benjamin F. Timson, David K. Saunders, et al.. (1994). Stress protein induction in skeletal muscle: comparison of laboratory models to naturally occurring hypertrophy. Journal of Applied Physiology. 76(2). 598–601. 29 indexed citations
6.
Cullen, Lesley, et al.. (1992). Efficiency of Trained Cyclists Using Circular and Noncircular Chainrings. International Journal of Sports Medicine. 13(3). 264–269. 23 indexed citations
7.
Timson, Benjamin F.. (1990). Evaluation of animal models for the study of exercise-induced muscle enlargement. Journal of Applied Physiology. 69(6). 1935–1945. 86 indexed citations
8.
Timson, Benjamin F., et al.. (1990). Skeletal muscle fibre number in the rat from youth to adulthood.. PubMed. 173. 33–6. 22 indexed citations
9.
Timson, Benjamin F., et al.. (1989). Muscle fibre size and number following immobilisation atrophy.. PubMed. 163. 1–5. 38 indexed citations
10.
Templeton, G. H., et al.. (1988). Changes in fiber composition of soleus muscle during rat hindlimb suspension. Journal of Applied Physiology. 65(3). 1191–1195. 76 indexed citations
11.
Ptáček, Martin, et al.. (1987). 295. Medicine & Science in Sports & Exercise. 19(Supplement). S50–S50. 2 indexed citations
12.
Timson, Benjamin F., et al.. (1985). Effect of increased growth rate during the suckling period on subsequent body weight and muscle weight to body weight ratio.. PubMed. 49(4). 455–69. 1 indexed citations
13.
Timson, Benjamin F., et al.. (1985). Fiber number, area, and composition of mouse soleus muscle following enlargement. Journal of Applied Physiology. 58(2). 619–624. 51 indexed citations
14.
Timson, Benjamin F., et al.. (1985). A brief study of within litter and within strain variation in skeletal muscle fiber number in three lines of laboratory rodents.. PubMed. 49(4). 450–4. 1 indexed citations
15.
Timson, Benjamin F., et al.. (1984). Body composition by hydrostatic weighing at total lung capacity and residual volume. Medicine & Science in Sports & Exercise. 16(4). 411???414–411???414. 9 indexed citations
16.
Timson, Benjamin F., et al.. (1984). Estimation of skeletal muscle fiber number by mean fiber dry weight. Journal of Applied Physiology. 56(1). 244–247. 3 indexed citations
17.
Timson, Benjamin F., et al.. (1984). Body composition by hydrostatic weighing at total lung capacity and residual volume.. PubMed. 16(4). 411–4. 11 indexed citations
18.
Timson, Benjamin F., et al.. (1983). 8. Medicine & Science in Sports & Exercise. 15(2). 135–135. 1 indexed citations
19.
Timson, Benjamin F.. (1982). The effect of varying postnatal growth rate on skeletal muscle fiber number in the mouse.. PubMed. 46(1). 36–45. 12 indexed citations
20.
Gollnick, P. D., Benjamin F. Timson, R. L. Moore, & M. Riedy. (1981). Muscular enlargement and number of fibers in skeletal muscles of rats. Journal of Applied Physiology. 50(5). 936–943. 195 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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